中文版 | English
Title

Identification of Novel Multi-Omics Expression Landscapes and Meta-Analysis of Landscape-Based Competitive Endogenous RNA Networks in ALDH+ Lung Adenocarcinoma Stem Cells

Author
Corresponding AuthorYang,Xiaofei; Li,Furong
Publication Years
2022
DOI
Source Title
ISSN
2314-6133
EISSN
2314-6141
Volume2022
Abstract
ALDH+ H1975 lung adenocarcinoma stem cells (LSCs) are a rare cell population identified in lung adenocarcinoma (LUAD). LSCs can self-renew, drive tumor initiation, growth, metastasis, and recurrence and are also the predominant cause of poor prognosis due to their intrinsic resistance to drugs and chemotherapy. Consequently, LSCs are a promising target for LUAD therapy. Noncoding RNAs (ncRNAs), including microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs), exert many significant regulatory functions in the pathogenesis of human cancers, showing the necessity for a comprehensive understanding of the mechanisms that underlie lung carcinogenesis. Nonetheless, research on many known transcripts and messenger RNAs (mRNAs) has already generated new information. Unknown biomarkers in ncRNAs and systematic and comprehensive interrelation with unknown ncRNAs and mRNAs may provide further insights into the biology of LUAD. Herein, a set of novel ncRNAs that include miRNAs, lncRNAs, and circRNAs were identified, and differentially expressed patterns of ncRNAs and mRNAs in LSCs and ALDH-H1975 LUAD tumor cells (LTCs) were obtained using stringent bioinformatics pipelines. Through a meta-analysis of the identified landscapes, novel competitive endogenous RNA (ceRNA) networks were constructed to reveal the potential molecular mechanisms that regulate the hallmarks of LSCs and LTCs. This study presents a summary of novel ncRNAs and the fundamental roles of differentially expressed ncRNAs implicated in the activity of LSCs and LTCs. In addition, the study also provides a comprehensive resource for the future identification of diagnostic, therapeutic, and prognostic biomarkers in LUAD.
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
Science and Technology Project of Shenzhen["ZDSYS20190902093203727","JCYJ20170413092711058","GJHZ20170310090257380"] ; China Postdoctoral Science Foundation[2019M66336]
WOS Research Area
Biotechnology & Applied Microbiology ; Research & Experimental Medicine
WOS Subject
Biotechnology & Applied Microbiology ; Medicine, Research & Experimental
WOS Accession No
WOS:000868198400004
Publisher
Scopus EID
2-s2.0-85137660741
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/402415
DepartmentShenzhen People's Hospital
Affiliation
1.Translational Medicine Collaborative Innovation Center,The Second Clinical Medical College,Shenzhen People's Hospital,Jinan University,Shenzhen,518020,China
2.The First Affiliated Hospital,Shenzhen People's Hospital,Southern University of Science and Technology,Shenzhen,518020,China
3.Guangdong Engineering Technology Research Center of Stem Cell and Cell Therapy,Shenzhen,518020,China
4.Shenzhen Key Laboratory of Stem Cell Research and Clinical Transformation,Shenzhen,518020,China
5.Shenzhen Xbiome Biotech Co.,Ltd,Shenzhen,518057,China
First Author AffilicationShenzhen People's Hospital
Corresponding Author AffilicationShenzhen People's Hospital
Recommended Citation
GB/T 7714
Yang,Wei,Liang,Yong,Zheng,Yuanyuan,et al. Identification of Novel Multi-Omics Expression Landscapes and Meta-Analysis of Landscape-Based Competitive Endogenous RNA Networks in ALDH+ Lung Adenocarcinoma Stem Cells[J]. Biomed Research International,2022,2022.
APA
Yang,Wei,Liang,Yong,Zheng,Yuanyuan,Luo,Haitao,Yang,Xiaofei,&Li,Furong.(2022).Identification of Novel Multi-Omics Expression Landscapes and Meta-Analysis of Landscape-Based Competitive Endogenous RNA Networks in ALDH+ Lung Adenocarcinoma Stem Cells.Biomed Research International,2022.
MLA
Yang,Wei,et al."Identification of Novel Multi-Omics Expression Landscapes and Meta-Analysis of Landscape-Based Competitive Endogenous RNA Networks in ALDH+ Lung Adenocarcinoma Stem Cells".Biomed Research International 2022(2022).
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